Evidence map›Paper›PMID 31225583›Full record

ArticleThe American journal of clinical nutrition2019

Total energy expenditure in patients with colorectal cancer: associations with body composition, physical activity, and energy recommendations.

Sarah A Purcell, Sarah A Elliott, Peter J Walter, Tom Preston, Hongyi Cai, Richard J E Skipworth, Michael B Sawyer, Carla M Prado

Erratum issued Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in The American journal of clinical nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT03131921 (Resting Energy Expenditure in Cancer - Associations With Body Composition, Dietary Intake, and Exercise Habits), which is not on this map. Cited by 15 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 3 pooled it
2.5field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03131921 completednot on this map

Resting Energy Expenditure in Cancer - Associations With Body Composition, Dietary Intake, and Exercise Habits

TypeobservationalSponsorUniversity of AlbertaRan2016 to 2022Enrolled20ConditionsColorectal Cancer
3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 3 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
  2. Effects of internet-based digital health interventions on the physical activity and quality of life of colorectal cancer survivors: a systematic review and meta-analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024
    Pooled it
  3. Guideline
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Validation of accelerometer placement to capture energy expenditure using doubly labeled water.Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme · 2022
    Article
  11. Observational
  12. Review
  13. Determining the factors affecting energy metabolism and energy requirement in cancer patients.Journal of research in medical sciences : the official journal of Isfahan University of Medical Sciences · 2021
    Review
  14. Nutrition interventions to treat low muscle mass in cancer.Journal of cachexia, sarcopenia and muscle · 2020
    Review
  15. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors at 4 institutions in 3 countries.

Sarah A PurcellDivision of Human Nutrition, Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
Sarah A ElliottDivision of Human Nutrition, Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
Peter J WalterNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA.
Tom PrestonStable Isotope Biochemistry Laboratory, Scottish Universities Environmental Research Centre, University of Glasgow, Glasgow, United Kingdom.
Hongyi CaiNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA.
Richard J E SkipworthClinical Surgery, University of Edinburgh, Edinburgh, United Kingdom.
Michael B SawyerDepartment of Oncology, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Alberta, Canada.
Carla M PradoDivision of Human Nutrition, Department of Agricultural, Food, and Nutritional Science, University of Alberta, Edmonton, Alberta, Canada.
University of Alberta · CANational Institutes of Health · USScottish Universities Environmental Research Centre · GBUniversity of Edinburgh · GB

Funding

Clinical Stable Isotope Research & SupportZICDK075039 · NIDDK · NATIONAL INSTITUTE OF DIABETES AND DIGESTIVE AND KIDNEY DISEASES · PI WALTER, PETER · 2009 to 2025
$23.2M
CIHR
6 · The paper itself

Abstract

backgroundTotal energy expenditure (TEE) data in patients with early-stage cancer are scarce, precluding an understanding of energy requirements.

objectiveThe objective was to cross-sectionally characterize TEE in patients with colorectal cancer (CRC) and to compare measured TEE with energy recommendations. It was hypothesized that TEE would differ according to body mass, body composition, and physical activity level (PAL) and current energy recommendations would have poor individual-level accuracy.

methodsPatients with newly diagnosed CRC had resting energy expenditure (REE) measured by indirect calorimetry and TEE by doubly labeled water. Hypermetabolism was defined as REE > 110% of that predicted from the Mifflin St.-Jeor equation. Body composition was assessed via DXA. Physical activity was determined as the ratio of TEE to REE (TEE:REE) (PAL) and residual activity energy expenditure (RAEE). TEE was compared with energy recommendations of 25-30 kcal/d and Dietary Reference Intakes (DRIs) using Bland-Altman analyses. Patients were stratified according to median BMI, PAL, and sex-specific ratio of fat mass (FM) to fat-free mass (FFM).

resultsTwenty-one patients (M:F 14:7; mean ± SD BMI: 28.3 ± 4.9 kg/m2, age: 57 ± 12 y) were included. Most (n = 20) had stage II-III disease; 1 had stage IV. Approximately half (n = 11) were hypermetabolic; TEE was not different in those with hypermetabolism and REE as a percentage of predicted was not correlated with TEE. Mean ± SD TEE was 2473 ± 499 kcal/d (range: 1562-3622 kcal/d), or 29.7 ± 6.3 kcal/kg body weight (range: 20.4-48.5 kcal/kg body weight). Mean ± SD PAL was 1.43 ± 0.27. The energy recommendation of 25 kcal/kg underestimated TEE (-12.6% ± 16.5%, P = 0.002); all energy recommendations had wide limits of agreement (the smallest was DRI with measured PAL: -21.2% to 29.3%). Patients with higher BMI and FM:FFM had higher bias using kilocalories per kilogram recommendations; bias from several recommendations was frequently lower (i.e. underestimation) in patients with higher PAL and RAEE.

conclusionsTEE variability was not reflected in energy recommendations and error was related to body weight, body composition, and physical activity. This trial was registered at clinicaltrials.gov as NCT03131921.

Indexed as

Body CompositionEnergy IntakeExerciseAdultAgedColorectal NeoplasmsEnergy MetabolismFemaleHumansMaleMiddle Agedbody compositioncancerdietary intakeenergy balanceenergy expenditureenergy metabolismenergy requirementsnutritional assessmentphysical activity

Identifiers

PMID31225583
PMCPMC6669058
OpenAlexW2952976617

What OpenQuestion holds

Textmetadata
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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.